{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "双y轴绘制 关键函数：twinx()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#-*- encoding:utf-8 -*-\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "from matplotlib import rc\n",
    "\n",
    "rc('mathtext', default='regular')#???未知用处\n",
    "\n",
    "time = np.arange(10)\n",
    "temp = np.random.random(10)*30\n",
    "Swdown = np.random.random(10)*100-10\n",
    "Rn = np.random.random(10)*100-10\n",
    "\n",
    "fig = plt.figure()\n",
    "ax = fig.add_subplot(111)\n",
    "ax.plot(time, Swdown, '-', label = 'Swdown')\n",
    "ax.plot(time, Rn, '-', label = 'Rn')\n",
    "ax2 = ax.twinx() #双y轴绘制\n",
    "ax2.plot(time, temp, '-r', label = 'temp')\n",
    "ax.legend(loc=2) #位置代码2表示左上\n",
    "ax.grid()#显示网格\n",
    "ax.set_xlabel(\"Time (h)\")\n",
    "ax.set_ylabel(r\"Radiation ($MJ\\,m^{-2}\\,d^{-1}$)\")\n",
    "ax2.set_ylabel(r\"Temperature ($^\\circ$C)\")\n",
    "ax2.set_ylim(0, 35)#y轴区间\n",
    "ax.set_ylim(-20,100)#y轴区间\n",
    "ax2.legend(loc=0)#位置代码0表示最好\n",
    "plt.rcParams['savefig.dpi'] = 300 #图片像素\n",
    "plt.rcParams['figure.dpi'] = 300 #分辨率\n",
    "plt.show()\n",
    "#plt.savefig('0.png')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "仅使用一个轴的legend()函数"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "from matplotlib import rc\n",
    "\n",
    "rc('mathtext', default='regular')#???未知用处\n",
    "\n",
    "time = np.arange(10)\n",
    "temp = np.random.random(10)*30\n",
    "Swdown = np.random.random(10)*100-10\n",
    "Rn = np.random.random(10)*100-10\n",
    "\n",
    "fig = plt.figure()\n",
    "ax = fig.add_subplot(111)\n",
    "\n",
    "lns1 = ax.plot(time, Swdown, '-', label = 'Swdown')\n",
    "lns2 = ax.plot(time, Rn, '-', label = 'Rn')\n",
    "ax2 = ax.twinx()#双y轴绘制\n",
    "lns3 = ax2.plot(time, temp, '-r', label = 'temp')#注意此时是ax2.plot\n",
    "\n",
    "#added these three lines\n",
    "lns = lns1+lns2+lns3\n",
    "labs = [l.get_label() for l in lns]\n",
    "ax.legend(lns, labs, loc=0)\n",
    "\n",
    "ax.grid()\n",
    "ax.set_xlabel(\"Time (h)\")\n",
    "ax.set_ylabel(r\"Radiation ($MJ\\,m^{-2}\\,d^{-1}$)\")\n",
    "ax2.set_ylabel(r\"Temperature ($^\\circ$C)\")\n",
    "ax2.set_ylim(0, 35)\n",
    "ax.set_ylim(-20,100)\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAaYAAAEKCAYAAABZr/GWAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAADl0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uIDIuMi4yLCBodHRwOi8vbWF0cGxvdGxpYi5vcmcvhp/UCwAAIABJREFUeJzt3Xd401UXwPHvhVJo2Us2lL3KRgERRBRF2eDiVVEcCIID9AUciDhRWW7kRcENCFVRUVkiU2XTskcZZZZVCt3tef+4RSsW6EjyS9LzeZ4+bdIkv5NQcnLuvb9zjYiglFJKeYt8TgeglFJKZaSJSSmllFfRxKSUUsqraGJSSinlVTQxKaWU8iqamJRSSnkVTUxKKaW8iiYmpZRSXkUTk1JKKa8S4HQAWZEvXz4JCgpyOgyllPIpcXFxIiI+V4D4RGIKCgri3LlzToehlFI+xRgT73QMOeFzmVQppZR/08SklFJ5lDHmY2PMMWNMRIbrShljFhhjdqZ/L5l+vTHGvG2M2WWM2WSMae6uuDQxKaVU3jUd6HzBdSOBRSJSG1iUfhngZqB2+tcA4AN3BeUTc0xKKd+WnJxMVFQUCQkJTofilwoVKkTlypUpUKBAtu4nIkuNMSEXXN0D6JD+8yfAEmBE+vWfit0r6XdjTAljTAUROZyL0DOliUkp5XZRUVEULVqUkJAQjDFOh+NXRIQTJ04QFRVF9erVL/x1gDFmTYbLU0RkymUestz5ZCMih40xV6RfXwk4kOF2UenX+U5iMsZ8DHQFjolIaPp1pYCZQAiwF7hdRE65KwallHdISEjQpOQmxhhKly5NdHR0Zr9OEZGWrjpUJte5ZadZd84xTSfrY5dKKT+nScl9XPzaHjXGVEh/3ArAsfTro4AqGW5XGTjkygOf57aKKZtjl0o5TwQOH4bwcNi8GYyBqlWhWjX7VaaMvU4pD0hKSeP42UQqFC/k6aQ+F7gXGJv+/bsM1w8xxswAWgEx7phfAs/PMV1s7PJfjDEDsCs/CAwM9FB4Kk+Ji4NZs2D1apuMIiLg1CVGloOCbKJq1gwGDIAOHTRR+ZCoqCgGDx7Mli1bSE1N5ZZbbmH8+PEULFjQpcdZsmQJgYGBXH311QBMnjyZ4OBg+vXrx/Tp07nxxhupWLHiRe8vIpw8l8ThGLtQZMb0Kbz/7jvs3r2b6OhoypQp47JYjTFfYYuFMsaYKGA0NiHNMsY8AOwHbku/+TzgFmAXEAf0d1kgF/DaxQ/pE3RTAAoXLuyWcUyVR504Ae+/D2+/DcePQ7FiEBoKt99uvzdqBA0bQr58sH8/7Nv3z6/582HGDKhXDwYNgn79oEQJp5+VugQRoXfv3gwaNIjvvvuO1NRUBgwYwPDhw3nrrbdceqwlS5ZQpEiRvxLTwIED//rd9OnTCQ0NvWhiSkhO5eCpeM4lpVCkYACVSwaRfG17evfsQYcOHVwaJ4CI9L3Ir67P5LYCDHZ5EJkREbd9YRc5RGS4vB2okP5zBWB7Vh4nODhYlMq1fftEHn9cpHBhERDp0kXkt99E0tKy9zhxcSLTp4u0amUfJzhY5MEHRTZscE/cfmDLli2OHn/hwoXSrl27f1wXExMjJUqUkNjYWJk2bZoMHjz4r9916dJFfv31VxERGThwoLRo0UIaNGggzz///F+3qVatmjz//PPSrFkzCQ0Nla1bt0pkZKSUK1dOKlasKE2aNJGlS5fK6NGj5c0335Svv/5aChcuLHXq1JEmTZrIDz/8ID179hQRkdS0NJn17Q9yfeeuEnHwtJw4myhpF/xdVqtWTaKjoy/6HDN7jYFz4sb3eHd9ebpiutjYpVLuc+QIjBgBX35pL/ftC8OH2+ooJ4KC4N577dfatfDBB/DFF/DRRzBsGLz8MhQq5Lr4/cyY7zez5dAZlz5mg4rFGN2t4UV/v3nzZlq0aPGP64oVK0ZISAi7du265GO/8sorlCpVitTUVK6//no2bdpE48aNAShTpgzr1q3j/fffZ9y4cUydOpWBAwdSpEgRnnrqKQAWLVoEwK233sq7777LuHHjaNmyJSLCk08+yf6Dh0kMKMK0adPoe3c/6pQrSoH8ebv3gdueffrY5SqgrjEmKn28cizQyRizE+iUflkp91m0CJo2tXNJgwfD7t3w6ac5T0oXatECpk6Fgwdh4EAYPx6uugo2bXLN4yuXEJFMFxDYouLSZs2aRfPmzWnWrBmbN29my5Ytf/2ud+/eALRo0YK9e/dmMyboedudvDtlGidOnmLzhjXce0evPJ+UwL2r8rI8dqmUy6Wmwosvwksv2bmghQtdl4wyU7Kknbfq1g3uvx+uvNJWTsOGQf787juuD7pUZeMuDRs2ZM6cOf+47syZMxw9epS6desSERFBWlraX78736EiMjKScePGsXr1akqWLMl99933j+4V5xdO5M+fn5SUlCzHcy4xhahT8dzQ4w6GPvgfql5RnDtuv52AAK+d9vcoTc3K/xw6BDfcYBNTv3521Z07k1JGN99sV/h16WKHCzt2hGx+klaud/311xMXF8enn34KQGpqKk8++SRDhgwhKCiIkJAQNmzYQFpaGgcOHODPP/8EbPIqXLgwxYsX5+jRo/z000+XPVbRokWJjY3N9HdFihQl8vBxdkefRURoFVqLkCqVee3VV7nvvvtc9nx9nSYm5V/mz7dDd3/+CdOmwfTpULiwZ2MoUwbmzLHHXr8eGjeGBQs8G4P6B2MM33zzDbNnz6Z27dqULl2afPny8eyzzwLQtm1bqlevTqNGjXjqqado3tw2zm7SpAnNmjWjYcOG3H///bRt2/ayx+rWrRvffPMNTZs2ZdmyZX9dH5uQzI09b+e/TzxK35vbU7lYAEULFeCuu+6iSpUqNGjQINPHe/vtt6lcuTJRUVE0btyYBx980AWviHczWRljdVrhwoVFNwpUlzVpkh06a9DAzild5D+6R+3dCz16wPbtMHs2dO3qdESO2Lp1K/Xr13c6jL+sXLmSvn37EhYW9q9FEa6WkprG4ZgETsUlUTAgP5VLBlG44N9DdkOGDKFZs2Y88MADuTpOZq+xMSZORDz8ySz3NDEp//D22/D449C7N3z2GQQHOx3R306ehBtvtAsiZsywMeYx3paYPCUmLomDpxNITRPKFi3IFUULki/f34swWrRoQeHChVmwYEGuT/T1p8SkM23K9733nk1KvXrZN/5stv53u1Kl7OrAm2+2J/F+9pldsq78VnJqGodOxxMTn0xQgfxULxNMUOC/327Xrl3rQHTeTxOT8m0ffghDhkD37t6ZlM4rXhx++cUO5d11FyQmgk52+x0R4VRcModj4kkTKF+8EGWLFNQGttmkiUn5ro8+sucOdeli55S8vadi0aLw00/Qsyf072+T08MPOx2VcpGklFSiTsVzNjGFwoEBVCoZRKECeqpATmhiUr5p+nR46CHo3NkuKnBxI063CQ6GuXPh1lttUs2Xzz4P5bNEhBPnkjiS3nS1UokgShUO1CopFzQxKd/z1Vf2JNYbboCwMN9r/1OokI27Rw945BGoUweuvdbpqFQOJCTbKikuKYWihQpQqUQQgQF6Fk5u6SuofMvq1XYYrH17+PZb27fOFwUG2jmxmjWhTx+IjHQ6Ir8XFRVFjx49qF27NjVq1GDIkCEkJibm6LHSRDh2JoGdx86SmJJKlZLBhJQOJjAgH0uWLGHlypV/3Xby5Ml/ndg7ffp0Dh3K3t56d911F3Xr1iU0NJT777+f5OTkHMXsSzQxKd8RHW3fxMuVs8N33rQkPCeKF7fDeikptno6e9bpiPyWpG970bNnT3bu3MnOnTuJj49n+PDh2X6s+KQUdh07y5EzCRQrFECdckUpmWHo7sLENHDgQPr16wfkPDFt27aN8PBw4uPjmTp1arZj9jWamJRvSEmBO++EY8fsMJgLN0tzVJ06MHOm3TG3Xz/I0K9Nuc7ixYspVKgQ/fvbve3y58/PxIkT+fTTTzl79izTp09nyJAhf92+a9euLFmyBIBBgwbRsmVLGjZsyLARz7Dr2DlS0oSubZvy8dtv0OrKljRq1Iht27axd+9eJk+ezMSJE//q/PDCCy8wbtw4Zs+ezZo1a7jrrrto2rQpP/74I7169frrmAsWLPirKWxGt9xyC8YYjDFcddVVREVFuffF8gI6x6R8w9NPw+LFdtGDm8/U97ibboI334Qnn7T9/V54wemI3OuJJ2DDBtc+ZtOmtvPHReR224uChYux7/hZ7r21Kzd37cF1V19JPuOabS+io6MpW7Ys06ZN+ytxZiY5OZnPPvvM5RsbeiOtmJT3mzULxo2zCwXuvdfpaNxj6FD73MaMsX32lEvldNuL1DRhyvTPadmyBb06XUPkru2cOBhJQPrWFLnZ9sIYwz333MPnn3/O6dOnWbVqFTfffPNFb//II4/Qvn172rVrl63j+CKtmJR3i4iwK/CuvhomTnQ6GvcxBiZPhm3b7JBerVrQpInTUbnHJSobd8nJthfnklJYvDqc99+exM9LllO3agUeuL+/S7a9OK9///5069aNQoUKcdttt11024sxY8YQHR3Nhx9+mO1j+CKtmJT3On3athkqWhS+/tr7T6DNrUKF4Jtv7N5Ot94K2h/SZbKz7UXk3n388cefHIlJIP7sWYoXK0K9quU5Hn0s19teXPi7ihUrUrFiRV5++eWLbnsxdepUfvnlF7766ivy5csbb9l541kq3yNih7b27rVJqWJFpyPyjAoV4PPPYdcuu5+TcomsbnvRMDSURx4bSr3QxpQMCqRrxza0aN7cJdteANx3330MHDiQpk2bEh8fD3DZbS8GDhzI0aNHadOmDU2bNuXFF1/M5avhA0TE67+Cg4NF5TEffSQCIhMnOh2JM4YOtc//55+djsQltmzZ4nQI/7BixQqpWrWqrFmzRkREklJSJTL6rGw8cEp2HDkjcYkpHotl8ODBMnXq1Fw/TmavMXBOvOA9PLtfuu2F8j7790OjRtCsmV2Jl0eGL/4hPt6uPoyJsfNsJUs6HVGueOu2F5Kh6aoIlCtWkDIebLqq215kThc/KO8iAg8+CKmp8PHHeTMpge1o8dln0Lo1DB4MX37pdER+5x9NVwsGULlEEAU93HRVt73IXB79X6+81tSpdhvyN96AGjWcjsZZLVrA88/b3oAzZzodTa55y+iMiHA8NpEdR88Sn5RKpRJB1ChT2ONJyZW85bV1FR3KU95j3z4IDYWrrrLJKa9WSxmlpEDbtnYxRHi4zy4CiYyMpGjRopQuXdrRrtv+2HRVRDhx4gSxsbFUr179H7/z1aE8TUzKO4hAp07wxx/2DTgkxOmIvMf27Xa+rUMH+PFHe86Tj0lOTiYqKuof5wB5kogQm5hCbEIK+YDiwQUIzmRHWV9VqFAhKleuTIELNsr01cTkP/8yyrd9+KHdfnzyZE1KF6pb1w5tPvooTJnik5sLFihQ4F+f5j1lU9Rphs/exLYjsXRrUpHR3RpQpoiP7N+VR2nFpJwXGWlX4bVpA/Pn+2RF4HZpaban3qpVtjtE5cpOR+T14pNSmbhwB1OX7aFs0YK83LMRnRqUczosj/LVikkTk3JWWprd8G/NGrssumpVpyPyXpGR0KABdO/uF4sh3GnV7hM8HbaJvSfi6HtVFZ6+pT7FChW4/B39jK8mJt+e9VO+7/PP4ddfYfx4TUqXU7267bI+axYsXOh0NF7pTEIyz3wTTt///U6awJcPtuK13o3zZFLyZVoxKefExNj5k+rVYcUKXYWXFQkJduViQABs3Ai5PCnTnyzedpRnwiI4FpvAA9dUZ1inugQF+u4ScFe4XMVkjBkKPAgIEA70ByoAM4BSwDrgHhFJ8kC4f9F3AuWcF1+0G/+9844mpawqVMi+Xtu3+3e39Ww4cTaRx2es5/7paygeVICwR9rybJcGeT4pXY4xphLwGNBSREKB/MCdwOvARBGpDZwCHvB4bFoxKUds2WK3dejf3640U9nTuzf88gts3Zpnh0BFhO83HeaFuZuJTUhm8HW1eKRDLZ8/L8mVLlUxpSem34EmwBngW+Ad4AugvIikGGPaAC+IyE2eihkcqpiMMUONMZuNMRHGmK+MMYWciEM5RAQeewyKFIFXXnE6Gt80caJ9HYcOdToSRxyJSeChT9fw2FfrqVIqmB8ebccTN9TRpJQNInIQGAfsBw4DMcBa4LSInN9cKgqo5OnYPP6veInyUeUVc+bYc5ZefhnKlnU6Gt9UrRqMGgVhYfDzz05H4zEiwld/7qfThN9Yvus4z3WpT9igq6lbvqjToXmrAGPMmgxfA87/whhTEugBVAcqAoWBzLbQ9fiwmlMn2AYAQcaYZCAYOORQHMrT4uJg2DBo3NgnTxT1KsOGwfTpMGSIXWpfyL8HHvadOMfIOeGs2nOCNjVKM7ZPI6qV9rmV0J6WIiItL/K7G4BIEYkGMMaEAVcDJYwxAelVU2UceH/2eMWUWfkoIvM9HYdyyGuvwYED8O67dmWZyrmCBe3ruHs3vPmm09G4TWqaMHXZHm6atJSIgzGM7d2ILx9qpUkp9/YDrY0xwcY2MLwe2AL8Ctyafpt7ge88HZjHFz+kl49zgDuA08DXwGwR+fyC2w0ABgAEBga2SExM9Gicyg1277YniN56K3zxhdPR+I/bb4fvv7cdIapVczoal9p+JJbhczax8cBpbqh/BS/3bET54v5dGbpSFpaLj8G+F6cA67FLxyvx93Lx9cDdIuLRN2AnEtNtQGcReSD9cj+gtYg8crH76Ko8P9G9uz2Zdvt2n+2S7ZUOHIDatW2C+vRTp6NxiaSUNN77dRfvL9lF0UIFeKF7Q7o1ruBoZ3JfpJ0fsi6z8nGrA3EoT/rlF/upftQoTUquVqUKPPGE7aKxfr3T0eTa+v2n6PrOMt5atJMujSqwcNi1dG9SUZNSHuLIeUyZlY+XKhW1YvJxaWl224bYWDvcFBjodET+5/RpqFnTbi443zenbOOSUhg/fwcfr4ikfLFCvNIrlI718lbTVVfz1YrJkdlnERkNjHbi2MoBX34JmzbZ75qU3KNECVuNDh1qE9ONNzodUbas3HWckWHh7D8Zx12tqjLy5noU1f52eZZ2flDulZgI9epByZK2g7i2HnKfxESoXx+KFYN163zitY6JT+a1eVuZsfoAIaWDea13Y9rULO10WH5DKyalMjN5MuzdazcC9IE3Sp9WsCC8+ir07WtXPd5zj9MRXdKCLUd57ttwomMTebh9DZ64oY72t1OAVkzKnWJi7LxH06awYIFuAOgJaWnQqhUcPQo7dnjlSbfHzybywtzN/LDpMPXKF+WNWxvTuHIJp8PyS75aMelHWOU+48bBiRMwdqwmJU/Jl89uw37ggO1C7kVEhG/XH6TThN+Yv/koT3aqw9wh12hSUv+iFZNyjyNHbLXUrRvMmOF0NHlP166wfLk9qbm083M2h07H89y3ESzedoxmVUvwRp/G1C6n/e3cTSsmpTJ68UVISrKNWpXnjR1rl+e/+qqjYaSlCZ//vo8bJy5l1e4TPN+1AbMHXq1JSV2SVkzK9XbssK2HHn4Y3nvP6WjyrgcfhM8+s502QkI8fvjI4+cYOWcTf0Se5JpaZXitdyOqlAr2eBx5ma9WTJqYlOvdfjvMmwe7dkH58k5Hk3cdPAi1asF//gMffeSxw6akpvHR8kgmLNhBYEA+RnVpwG0tK2vnBgf4amLSoTzlWqtXw9dfw5NPalJyWqVKMGgQfPKJ/ZDgAVsPn6H3Byt57adtXFunLAuHXcvtV1bRpKSyRSsm5Vo33WRP7ty9257oqZx19ChUr247uruxwWtiSirvLd7F+0t2UyK4AGO6h3JLo/KakBymFZNSK1fadjjDh2tS8hblytmNBL/4wvYpdIO1+07R5e3lvL14F92bVmTB0Gvpop3AVS5oxaRc58YbYcMGiIyEwj73Ic1/RUfbqql7d9uv0EXiklIY98sOpq2MpEKxQrzSuxHX1b3CZY+vck8rJpW3rVhhuzsMH65JyduULQuPPWbPJ9u82SUPuXzncW6cuJSPV0Ryd6tqzB92rSYl5TJaMSnX6NTJdhDfs0cTkzc6ccJWTZ07w6xZOX6YmLhkXpm3hVlroqhRpjBj+zTmquqlXBiociVfrZi0iavKveXLYeFC24JIk5J3Kl3abib40kv2A0Tjxtl+iJ8jjjDquwhOnktiUIeaPH59bQoV0KaryvW0YlK5d8MNEBFhq6VgPYHSa506Zaumjh0hLCzLdzsWm8ALczczL/wIDSoU441bGxNaqbgbA1WuohWTypuWLYNFi2DCBE1K3q5kSRg2DEaPtkv6mze/5M1FhLB1B3nxhy3EJ6fy35vqMqB9DQrk16lp5V5aMancuf56O6Gu1ZJviImxVdM118DcuRe9WdSpOJ75JoKlO6JpUa0kr/dpTK0ringwUOUKWjGpvGfpUli8GCZO1KTkK4oXh6eegmeftV06rrzyH79OSxM+/2Mfr/+0DQHGdG/IPa2rkS+fnpOkPEcrJpVzHTvC1q22WgoKcjoalVWxsbZqat0afvjhr6t3R59l5JxNrN57ivZ1yvJqr1Aql9QPHL5MKyaVt/z2G/z6K0yapEnJ1xQtalfojRoFGzaQ3Kgx/1u2h0kLdxJUID/jbmtCn+aVtHODcoxWTCpnOna0LW5279bE5ItOn4Zq1Yhp35H/dBrG5kNnuKVReV7o3pArinrfduwqZ7RiUnnHypW2WpowQZOSj0ooXJT1N/el1cwpBFXvyuQBt9A5tILTYSkFaEsilROvvgplysCAAU5HonJgzd6T3PL2MgZf0Z6UggX58sQSTUrKq2hiUtmzYQP8+KOdo9AuDz7lbGIKo7+L4LYPV5GYnMakIZ0IfGQQgTO/sgtYlPISOseksueOO+Dnn2HfPihRwuloVBb9tiOaZ8LCORQTz71tQvjvTXUpXDAADh2yK/T694fJk50OU7mYr84xacWksm77drs77eDBmpR8xOm4JJ6ctZF7P/6TQgXy8fXDbXihe0OblAAqVoT774dp0+xW7Ep5Aa2YVNb17w8zZ8LevXCFbnHg7X4KP8yo7zZzKi6JQdfWZEjHWpk3XY2MhNq14dFH7cnSym9oxaT827598Pnn8NBDmpS83LEzCQz8bC2DvlhHuWIFmTukLU/dVPfincCrV4e774YPP4RjxzwbrHKUMaaEMWa2MWabMWarMaaNMaaUMWaBMWZn+veSno5LE5PKmjffBGNsOxvllUSEr9cc4IYJv7F4+zFGdK7Hd4Pb0rBiFjqBP/00JCTYE6ZVXvIW8LOI1AOaAFuBkcAiEakNLEq/7FE5GsozxkwREY+tFdahPIcdOQIhIfZT9dSpTkejMnHgZBzPfBPOsp3HuSqkFGP7NKJG2Ww2Xb3jDvjpJ1sdl/T4h2TlBpcayjPGFAM2AjUkQyIwxmwHOojIYWNMBWCJiNTNxjHzAw8ClbFJb0WG3z0nIi9f7jEuWjGll3OZfZUGbslqkBd57H+Vj7l5POVmEyZAcjKM9PgHJ3UZqWnCtBWR3DRpKev2neKlnqHMGNA6+0kJ4JlnbB+9d95xfaDKG9UAooFpxpj1xpipxpjCQDkROQyQ/j27Y/cfAtcCJ4C3jTETMvyud1Ye4KIVkzEmFdgHZGyYJemXK4lIYDaDzfjYnwDLRGSqMSYQCBaR0xe7vVZMDjp5EqpVg27d4MsvnY5GZbDrWCwj5oSzdt8pOtQtyyu9GlGpRC47cXTrBqtW2apJz1PzecaYJCA8w1VTRGRK+u9aAr8DbUXkD2PMW8AZ4FERKZHhMU6JSJZLaGPMJhFpnP5zAPA+UAboC/wuIs0u9xiXakm0B7heRPZncuADWQ0yk/sWA9oD9wGISBKQlNPHU272zjtw9qydg1BeITk1jQ9/283bi3YRXDA/E+9oQs+mLmq6+vTT0LYtfPQRPPZY7h9POS1FRFpe5HdRQJSI/JF+eTZ2PumoMaZChqG87K6I+atoEZEUYIAx5nlgMZClUv5Six8mARfLkm9kNcJMXKx8/AdjzABjzBpjzJqUlJRcHE7l2Nmz8NZb9lN0o0ZOR6OA8KgYur+7gnHzd9CpYTkWDruWXs0qu64T+NVXQ7t2MG6cHb5VfktEjgAHjDHn54+uB7YAc4F706+7F/gumw+9xhjT+YJjvQhMA0Ky8gAeP4/pYuWjiIy62H10KM8hEyfarbhXrbJ79yjHJCSnMmnhTv63bA+lCwfyUs9QbmpY3j0H+/FH6NoVPvkE+vVzzzGUR1zuPCZjTFNgKrbK2QP0xxYss4CqwH7gNhE56YFw/47LgcRUHjvOGJJ+uR0wUkS6XOw+mpgckJQENWtCjRp27yXlmD/2nGBkWDiRx89xR8sqPNOlPsWDCrjvgCLQuLH9vmkT5NOzSnyVnmCbRZcoH5U3+eoriIqCESOcjiTPik1IZtS3Edwx5XdS0tL44sFWvH5rY/cmJbDnq40cCZs32+pJKQ9zpCVRZuWjiJy62O21YvKwtDQ7p5Q/P2zcaN+olEf9uv0Yz4aFc/hMAv2vrs5TN9UhONCD26elpNg2RRUqwIoV+jfgo3y1YrrsX7oxZg7wMfCTiKS54qAisgG42EoR5bQffoAtW2wLIn1D8qhT55J46YcthK0/SO0rijBn0NU0r+rAya4BAbbLx5AhsHy5XRChVDbkJndctmIyxtyAnRBrDXwNTBeRbTmMNUe0YvKwtm1tp+ldu+wblHI7EeHH8MOM/m4zMfHJPNKhJoM71qJgwEX623lCXJw9h+2qq3RIz0c5WTHlJndcdo5JRBaKyF1Ac2AvsMAYs9IY098Y4+bBbuVxy5fbrdOfekqTkoccPZPAw5+tZciX66lYIojvH72GYTfWdTYpAQQHw+OPw7x5dhGEUtmQm9yRpTmm9DZEdwP3AIeAL4BrgEYi0iF34V+eVkwe1K0b/P67PfM/ONjpaPyaiDBrzQFe/nErSSlpDOtUhweuqU5Afi9aBXfqFFStCj162KFd5VOcnmPKae7IyhxTGFAP+Azodr6HEjDTGLMml3ErbxIRYeeXxozRpORm+08UF/f0AAAgAElEQVTE8fQ3m1ix6wRXVS/F630aU72MF85RlywJDz9su46/9JLdIkOpLMhN7sjKHNMtIjLvgusKikhiLmLOFq2YPKRfPwgLs9VS6dJOR+OXzjddHT9/B/nzGUbeXI//XFWVfPm8eJHJwYM2IQ0YAO++63Q0KhscnmPKce7ISmJaJyLNL3edO2li8oD9++0JtUOG6C6mbrLjaCzDZ29iw4HTdKx3BS/3DKVibpuuesoDD9gmvvv3Q9myTkejssjhxJTj3HHRobz0Dg2VgCBjTDP+7jJeDNBxHn8zIb0z/bBhzsbhh5JS0vhgyW7e/XUnRQoG8NadTenepKLr+tt5wn//Cx9/bCumMWOcjkZ5MVfkjktte3EvtgN4SyDjeGAsdtlfWM7Czj6tmNzsxAk7wX3bbTB9utPR+JWNB04zYs4mth2JpXuTiozu1oDSRQo6HVbO9OwJy5bZqkm3xPAJTlRMrsgdWRnK6yMic3IRZ65pYnKzF1+E0aPt4oeGDZ2Oxi/EJ6UyYcF2PloeyRVFC/Fyz1BuaFDO6bByZ9Uq2338rbd0Swwf4fBQXo5zx6UqprtF5HNjzJPYDQL/QUQmZHI3t9DE5EbnT6Js0wbmznU6Gr+wavcJRoZtYt+JOP7Tqiojb65HsUJ+cspfu3a2Ytq1Cwr4yXPyYw5VTLnOHZdaLn7+yWS2sZPnG+wp95g2DY4fh+HDnY7E551JSOa1edv46s/9VCsdzJcPteLqmmWcDsu1Royw57rNmgV33eV0NMo75Tp3ZGUor62IrLjcde6kFZObpKRAnTpQvrw26sylRVuP8uw3ERyLTeDBdjUYekMdggId7tzgDucb/AYEwIYN+jfj5Rweystx7sjKKebvZPE65WvmzIHISPspWN9gcuTE2UQe+2o9D3yyhuJBBQh7pC3P3FLfP5MS2L2Z/vtf26Jo/nyno1HeLce541JzTG2Aq4EngIwnthQDeolIk2wGmWNaMbmBCLRoYeeYtmzRzeCySUSYu/EQY77fQmxCMkOuq82gDjUJDMgDr2NSkt1Ask4dWLzY6WjUJTg0x5Tr3HGpOaZA7BhhAFA0w/VngFuzHa3yLosWwfr1MHWqJqVsOhwTz3PfRLBo2zGaVCnBG30aU7d80cvf0V8EBsLQobbR7+rVcOWVTkekvEuuc0dW5piqici+nEboCloxuUGnTnaH0shIKOij59V4WFqaMGP1AV6bt5XktDSeurEu/dtWJ783txNylzNn7LlvnTrB1187HY26CIfnmHKcO7Kyr0FBY8wUICTj7UWkY04OqLzAunWwcCG8/rompSzae/wcI8M28fuek7SpUZqxfRpRrXQePsm0WDF45BEYO9YuHa9Vy+mIlPfJce7ISsW0EZgMrAVSMzz42hwGm21aMblY375247cDB6B4caej8WqpacLHyyMZv2A7BfLl49ku9bnjyiq+1U7IXY4csefA3X8/fPCB09GoTDhcMeU4d2QlMa0VkRa5DTI3NDG50J49ULs2PPkkvPGG09F4te1HYhk+eyMbo2K4of4VvNyzEeWLF3I6LO8yYAB8+qntSF/Oxztb+CGHE1OOc0dWZr2/N8Y8YoypYIwpdf4rJwdTXmDCBMifH554wulIvFZSShoTF+yg6zvLiDoVzzt9m/G/fi01KWXmqafsKr2333Y6EuV9cpw7slIxRWZytYhIjZxEmhNaMblIdLQdeunbFz76yOlovNKGA6cZPnsjO46epUfTiozu1pBShQOdDsu73XqrXeW5fz8UzUOrE32AwxVTjnPHZRc/iIhuWekv3n0X4uPtp1z1D3FJKUyYv4OPV0RSrlghPr6vJR3r6dBUlowYYU/WnjLFDhErRe5yx2UrJgBjTCjQAPhrLENEPs3pQbNLKyYXOHvWLu+99lr45huno/EqK3cdZ2RYOPtPxnF366qM6FyPov7SdNVTOnaE7dvtHKau9PQaTlZM6cfPUe64bMVkjBkNdEh/8HnAzcBywGOJSbnA1Klw6pT9dKsAiIlP5rV5W5mx+gAhpYOZMaA1rWvolvI5MmIEdO4MX3xhV+mpPC83uSMrc0zhQBNgvYg0McaUA6aKSLdcxp1lWjHlUlKS3Ta9Zk1YssTpaLzCgi1Hee7bcKJjE3movW26WqiAn/a38wQRaN7cDhVriyuv4fAcU45zR1b+euJFJA1IMcYUA44BHlv4oFzgyy8hKkqrJeD42USGfLmOhz5dQ8ngQL4d3Janb66vSSm3jLF/X9u3675e6rwc546sVEzvA88AdwJPAmeBDSLSP1chZ4NWTLmQlgahoXZTtzy8TYGI8N2GQ4z5fjPnElN5tGMtBnaoSYH8+sneZc5vo1KuHKxcmWf/1ryJwxVTjnNHlhY/ZDhQCFBMRDblKNIc0sSUC999Bz172rH///zH6Wgcceh0PM9+E86v26NpXrUEr/dpTO1yuqzZLd5/HwYPht9+g/btnY4mz3N68UOGOELIRu7ISsWU6V+XiCzNbnA5pYkph0Tg6qtt65idO+3mbnlIWprwxZ/7ef2nbaSmCcM716Vfm5C82XTVU+Lj7blyLVvCvHlOR5PnOVwx5Th3ZOWd6r8Zfi4EXIXtfaRNXL3dsmXw++/2/KU8lpQij59jxJxN/Bl5kmtqleG13o2oUirY6bD8X1AQPP44PPec3UywcWOnI1KXYYzJD6wBDopIV2NMdWAGUApYB9wjIkk5eOgc545sDeUBGGOqAG+ISN9s3fHfj/OPF+NSt9WKKYe6dLH75ezdC8F54005JTWNqcsjmbhgB4EB+RjVpQG3taysTVc96dQpe85cjx7w+edOR5OnZaViMsYMA1pih9q6GmNmAWEiMsMYMxnYKCK57tKbndyRk5nfKCA0B/e70OPAVhc8jsrMpk12KOXxx/NMUtpy6Ay93l/J2J+2cW2dsiwcdi23aydwzytZ0jZ3nTHDfihSXssYUxnoAkxNv2ywFc3s9Jt8AvR00eGynDuycoLtO8D5siof0BTYmOPQ+MeL8QowLDePpS7i9dehSBG7Z46fS0xJ5d3Fu/hgyW5KBBfgvf8055ZG5TUhOWnoUHjnHRg3zg4lK6cEGGPWZLg8RUSmZLg8CRjO3zvNlgZOi0hK+uUooFJODpyb3JGViYeMTyoF+EpEVmQrwn+78MVQrhQZCTNn2g7iJUs6HY1brd13ihFzNrHr2Fl6N6/EqC4NKKlNV51XuTL062c7jjz3HJQv73REeVWKiLTM7BfGmK7AMRFZa4zpcP7qTG6avfmev+U4d2QlMX0NnN+ecruIJGYzuH+4yIuR2e0GAAMAAgP1jSZbxo+3Z94PHep0JG5zLjGFcfO3M33lXioWD2J6/yvpUPcKp8NSGY0YAdOmwaRJdqdb5W3aAt2NMbdgFycUwxYNJYwxAelVU2XgUA4fP8e546KLH4wxBYA3gXuAvdhS7ArgHREZa4xpJiLrsxupMea19MdM4e8XI0xE7r7YfXTxQzYcOQIhIXD33fbTqh9atjOap8PCiToVT7821RjeuR5FCuatVYc+4/xuyfv2+X317o2yulw8vUh4Kn3xw9fAnAyLHzaJyPvZOGauc8elFj+MB4oAISLSQkSaAfWBGsaYD4CwrAaakYg8LSKVRSQEe0bw4kslJZVN48dDcjKMHOl0JC4XE5fMf7/eyD0f/Ulg/nzMergNL/YI1aTkzZ5+GmJjdZ7Jt4wAhhljdmHnnLK7eVuuc8elKqZdQG254Abpy7yPAzeLyO/ZDPjCY3QgPUtf6nZaMWXRiRP25Mbu3W1/PD/yc8QRRn0XwclzSQxoX4PHr6+t/e18RbdutkXRvn12QY7yGCdOsHVF7rhUxZR24QMDiEgqEJ3bpJT+WEsul5RUNrz9Npw7B88843QkLnMsNoFHvljLwM/XUrZIQb4b3JYRnetpUvIlzz4LJ0/C//7ndCTKM3KdOy6VmLYYY/pdeKUx5m70/CPvc+aMTUw9etimrT5ORJi9NopOE5aycOsx/ntTXb4b0pbQSsWdDk1lV+vWcN11dul4Yq7WTinfkOvccamhvErYscB4bBsJAa4EgoBeInIwh0Fnmw7lZcHrr9t5pT//hCuvdDqaXIk6Fccz30SwdEc0LaqV5PU+jal1hQ4B+bSFC6FTJ/jwQ3vyrfIIh4bycp07stLEtSPQELu+fbOILMpl3Nmmieky4uPtSrwmTWD+fKejybG0NOGz3/fx+s/bABjRuR73tK5GPm266vtEoFUrOw+6fXue693oFIebuOY4d2S7V54TNDFdxjvvwGOP+fRWA7ujzzJi9ibW7DtF+zplebVXKJVL5o1WSnmGbsHicd6y7UV2aWLydee3TQ8Jsd3EfUxyahpTlu7hrUU7CSqQn1FdG9CneSVtJ+SP0tJst3FjYONG3X7dA3w1MWk97es++8xum+6DK54iDsYwYs4mNh86w82h5RnToyFXFC3kdFjKXfLls+c13X03fP+9XaijVCa0YvJlKSlQvz4UL263t/CRKiMhOZW3F+3kw6V7KBkcyMs9G9I5tILTYSlPSEmBunWhVCm7UMdH/mZ9lVZMyvO+/hp27YI5c3zmP/iavScZPmcTe6LPcVuLyjzXpQHFgws4HZbylIAAe17TAw/YbVm6dHE6IuWFtGLyVefH69PSICLC68frzyam8ObP2/j0931ULB7Ea70b0b5OWafDUk5ITrZVU+nSWjW5mVZMyrO+/ho2b7ath7w8Kf22I5pnwsI5FBPPvW1C+O9NdSms/e3yrgIF7FYYWjWpi9CKyRelpkKjRvaT5qZNkN872/OcjkvixR+2ELbuIDXLFuaNWxvTolopp8NS3kCrJo/Qikl5zqxZsHWr3QzQC5OSiPBTxBGe/y6C03HJDLmuFkM61tL+dupvWjWpS9CKydekpkLDhvY/theeC3LsTAKjvovgl81HCa1UjNf7NKZhRe1vpzKhVZPbacWkPOOrr2xLl9mzvSopiQhfr43i5R+2kJCSxojO9XioXXUC8ntPjMrLaNWkLkIrJl+SkgINGkBQEKxf7zWJ6cDJOJ4OC2f5ruNcFVKK1/o0omZZbbqqskCrJrfSikm535dfws6dEBbmFUkpNU34dNVe3vh5O/kMvNSjIXe10qarKhu0alKZ0IrJV6SkQL16UKwYrF3r+CfLXcdiGT57E+v2n6ZD3bK80qsRlUoEORqT8lFaNbmNVkzKvT77DHbvth2aHfyPm5yaxoe/7ebtRbsILpifiXc0oWdTbbqqckGrJnUBrZh8wflPlKVKOdoTLzwqhv/O3si2I7F0aVyBMd0bUqZIQUdiUX7GS/7G/Y2vVkzOT1Soy/vkE4iMhDFjHPkPm5Ccyms/baXHe8s5eS6JD+9pwXv/aa5JSblOgQIwerQdpp492+lolMO0YvJ2iYn2k2S5cvD77x5PTH/sOcHIsHAij5/jjpZVeKZLfYoHadNV5QapqXYX5qQk226rgP6d5ZZWTMo9Jk+GffvgxRc9mpRiE5J57ttw7pjyOylpaXzxYCtev7WxJiXlPvnzw6uv2pWn06Y5HY1ykFZM3iwmxu5O27QpLFjgscT067ZjPPtNOIfPJHB/2+o8eWMdggN1nYzyABFo1w727LFbugQHOx2RT9OKSbneG2/AiRPw+useSUonzyUxdOYG+k9fTeGCAcwZdDWjujbQpKQ8xxgYOxYOH4a333Y6GuUQrZi81aFDUKsW9OxpT6x1IxHhx/DDjP5uMzHxyTxyXS0GX1eTggHadFU5pFs3WL7cVk4lSzodjc/Sikm51gsv2JNqX3nFrYc5eiaBAZ+tZciX66lUMojvH72GYZ3qaFJSznr1VTuUPXas05EoB2jF5I22boXQUHj0UZg0yS2HEBFmrj7AK/O2kpSSxlM31qV/2xBtuqq8R79+dkPMnTuhcmWno/FJvloxaWLyRj17wuLFttNDWddvP77vxDmeDgtn5e4TtKpeitf7NCakjM/97Sp/t3evPVWiXz/43/+cjsYn+Wpi0o/H3mbFCtt2aMQIlyel1DRh6rI93DRpKeFRMbzSK5SvHmqtSUl5p5AQGDQIPv4Ytm1zOhrlQVoxeRMRaNvWflLcuRMKuy5hbD8Sy/A5m9h44DTX17uCl3uFUqG4Nl1VXi462p4yceON2hEiB7RiUrn37bewapVtPeSipJSUksakhTvo+s4yDpyM4607mzL13paalJRvKFsWnnoK5syBZcucjsavGGOqGGN+NcZsNcZsNsY8nn59KWPMAmPMzvTvHl8W6fGKyRhTBfgUKA+kAVNE5K1L3SdPVEwpKXbBgzEQHg4BuT93aOOB0wyfvYntR2Pp0bQiz3dtQGntb6d8TVyc3fKldGlYs8Z2iFBZcqmKyRhTAaggIuuMMUWBtUBP4D7gpIiMNcaMBEqKyAiPBY0zFVMK8KSI1AdaA4ONMQ0ciMO7fPCB3TL9tddynZTik1J55cct9Hp/BTHxyUzt15K37mymSUn5puBgGD8eNmyAqVOdjsZviMhhEVmX/nMssBWoBPQAPkm/2SfYZOVRjs8xGWO+A94VkQUXu43fV0xHj9rVR1ddBb/8kqsuD6t2n2Bk2Cb2nYjjP62qMvLmehQrpP3tlI8TgY4d7WjCjh12ewx1WVmdYzLGhABLgVBgv4iUyPC7UyLi0eE8R+eY0l+MZsAfmfxugDFmjTFmTUpKiqdD86yRI+1wxTvv5DgpnUlI5umwcPr+73cAvnqoNa/2aqRJSfkHY2yLolOn4PnnnY7GlwScfx9N/xpw4Q2MMUWAOcATInLG8yH+m2MVU/qL8RvwioiEXeq2fl0xrVoFV19tl4fn8Cz3RVuP8uw3ERyLTeDBdjUYekMdggJ1HF75oUcfhfffh/XroXFjp6PxepermIwxBYAfgF9EZEL6dduBDiJyOH0eaomI1PVMxOlxOZGYMnsxLsVvE1NqKlx5pV0Su3UrFCmSrbufOJvImO+3MHfjIeqVL8rrfRrTpEqJy99RKV918iTUqWMXCv36q+50exmXWfxgsHNIJ0XkiQzXvwmcyLD4oZSIDPdMxJbH20anvxgfAVuzkpT82ocf2k9+M2dmKymJCHM3HmLM91uITUhm6A11GNShJoEBuvpf+blSpWz/yIEDbbui2293OiJf1ha4Bwg3xmxIv+4ZYCwwyxjzALAfuM3TgTmxXPwaYBkQjl0uDvCMiMy72H38smKKjraf/Jo3h4ULs/zJ73BMPM99E8GibcdoWqUEb9zamDrliro5WKW8SGoqtGxpt4TZutWlJ6L7G189wdbjFZOILAe0/n76aTh7Ft59N0tJKS1NmLH6AK/N20pyWhrPdalP/7bVyZ9PX0qVx+TPbxcKtWtn9yp78UWnI1Iu5vhy8azwu4rpjz+gdWt7Rvubb1725nuPn2Nk2CZ+33OSq2uWZmzvxlQtrTt7qjzurrtsR4jNm23bIvUvvloxaWLytNRUaNXK7tC5bRsUvfgwXEpqGtNW7GX8gu0UyJePZ7vU544rq2B0wlcpOHgQGjSww+GLFkE+nWO9kK8mJt0z29MmT4a1a+2utJdIStuOnGHE7E1sjIrhhvrleLlnKOWLF/JgoEp5uUqVYMIEePBBu5Bo0CCnI1IuohWTJ+3aBU2awDXXwM8/Zzq3lJiSynu/7ub9X3dRPKgAL3RvSNfGFbRKUiozItC5s90uJiLCbpWh/uKrFZMmJk9JTYUOHWxLlYiITHfkXLf/FCNmb2LnsbP0alaJUV0bUKpwoOdjVcqX7N9vz2u66ipYsEDPbcrAVxOTDsp6yqRJsHy5XU10QVKKS0rhxe+30OeDlZxNTGHafVcy8Y6mmpSUyoqqVe0iokWLdKdbP6EVkyds2WInaG++GcLC/vGJbsWu44wM28SBk/Hc3boqIzrXo6j2t1Mqe0Tghhtg9Wo7IlG1qtMReQVfrZg0MblbcrLthbd3r/0PU64cADHxybz641ZmrjlA9TKFGdu7Ea1qlHY2VqV82d69dkivbduLzuHmNb6amHRVnruNHWs3N/v667+S0vzNR3ju2whOnEti4LU1eeKG2hQqoE1XlcqVkBB44w0YPBimTYP773c6IpVDWjG50/r1dkL29tvhiy+Ijk3khe838+Omw9SvUIw3+jSmUeXiTkeplP9IS4Prr4d16+yJt5ksMspLfLVi0sTkLomJf/XzkvBwvt0fz5jvtxCXmMpj19fi4WtrUiC/rj1RyuV277ZbYjRvDosXQ4G8O2frq4lJ3xnd5dlnISKC45Peo//c3QyduZEaZQoz7/FrGNKxtiYlpdylZk27Bfvy5XafM+VzdI7JHWbOhPHj2d77HnpHBJEmJxndrQH92oRo01WlPKFvX7sJ58SJti+lbo/hU3Qoz9U2biStTRt2VKxNt15jaF2vAq/2akSVUtp0VSmPSkqyJ7Vv2mSXkdev73REHuerQ3mamFwo5egx4pq2IO5cPH0HvMOgO6/hthaVtZ2QUk45eNDONZUqBX/+ecn+lP7IVxOTTnS4yJb9J9nc/mYKRh/l4yfHM/P5XtzeUjuBK+WoSpVgxgzYscM2e/WBD+JKE1OuJaakMn7+dlbd9iBNdqxj+wtv8Mzoe7mimHYCV8orXHcdvPYazJoFb73ldDQqC3QoLxfW7jvJiDnhhP76PZN+GE/ioMEUfP9dp8NSSl1IBPr0ge+/t0vI27VzOiKP8NWhPE1MOXAuMYVx87czfeVerjt7gP/9byj527SG+fPz9DkTSnm1mBh7wnt0NPz6q92Cxs9pYnIjb0pMy3ZG83RYOAdPxzO0ijDklYfJFxBg2w6VLet0eEqpS9m7F9q3h/h4+O03uwOuH9PE5EbekJhi4pJ5+cctfL02ihplC/NW0yAa3dMLUlLs0EBoqKPxKaWyaOdOm5yMgaVLoVYtpyNyG01MbuR0Yvo54gijvovg5LkkHm5fg8crplDwpk62L9fixdCwoWOxKaVyYMsWuPZaCA62yalaNacjcgtNTG7kVGI6FpvAC3M3My/8CA0qFOONWxsTGnMQOna0N1i82O+HApTyWxs22BV7pUrZ5FSpktMRuZwmJjfydGISEeasO8hLP2whPjmVx6+vzYD2NSiwbatNSvny2cnTevU8FpNSyg3+/NNuMFipkp1zuuIKpyNyKU1MbuTJxHTgZBzPfBPOsp3HaVmtJGP7NKbWFUXsJn8dO0JAgE1Kdet6JB6llJstWwadO9vhvG++8av/276amPQE23RpacInK/dy06SlrN13ijHdGzLr4TY2Kf30k+25VaAALFniV3+4SuV57drBvHl2GfmVV8KcOU5H9LdDh5yOwBGamIBdx85y+4erGD13My1DSjF/aHvuvTqEfMlJ8MQTcMstULGiLfXr1HE6XKWUq117rd1csEEDuPVWePJJSE52Lp64OPveU6MGhIc7F4dD8vS2F8mpaUxZuoe3Fu4kKDA/429rQu/mlWx/u61bbev8jRvh0Uftls2FtM2QUn6rShW7COKpp2DCBDv/NHOm/VDqSStWQP/+dln7kCE2OeUxeXaOKeJgDMNnb2LL4TN0aVSBF7o3pGzRgrZ1ydSp8PjjULgwTJsGXbu69NhKKS83Y4Zt+lqkiP25Qwf3HzM+HkaNskmxWjX4+GO7ajAXdI7JRyQkp/L6z9vo8d4Kos8mMvnuFrx3V3OblCIj4bbbYMAAaNvW7uOiSUmpvOfOO23FVLKkTQ59+tjl5e7y++/QrBmMHw8PP2zfe3KZlHyZI4nJGNPZGLPdGLPLGDPSU8ddvfckt7y1jA+W7KZ3s0osHHotnRuWs+V77972DPC5c+2w3S+/QIUKngpNKeVtGjSwyWnUKFi0yCaO7t3tpoOuIGLnrfv1sx+E4+NhwQL44AOP7Rvl1HvxZYmIR7+A/MBuoAYQCGwEGlzqPsHBwZIbsQnJMurbcKk24gdpO3aRLN1xTCQxUeTTT0WaNxcBkVKlRJ55RuTgwVwdSynlh06dEnnpJZGSJe37RefOIsuXi6SlZf+xoqJEXnlFpFYt+1jFiok8/rhITIzLwwbOiQvfiz315fE5JmNMG+AFEbkp/fLT6QnytYvdJzdzTEu2H+PVr36n0N493Fs6iW5BZwmM3G27Nhw5YrdbfuIJuPtu255EKaUuJjYW3n8fxo2D48ehRAm7Q26LFtCypf1eo4btwxcfD0eP2veZI0fs0u958+zpJ2lpdiXgAw/YYUI3vfdcao4pJ+/FnuLEqrxKwIEMl6OAVu440O833U7D5QuYH3f67yuNsROLrVvDoEHQqZO9TimlLqdoURgxwq6WmzkT/vgD1q61GxAmJdnbFC9uv8fE/Pv+FSrY+99/vzc0j/XYe3F2OZGYMssC/yrbjDEDgAEAgYGBOTtQtWoczteJkh1aEFC3rj0HqUYNXfatlMqdwoVtcrn/fns5Kcl2h1m7Ftavtx1iypf/91e5cpA/vycjDTDGrMlweYqITEn/OUvvxU5wIjFFAVUyXK4M/Ov05vQXbwrYobycHKjVlDdzcjellMqewEA7pNe8udORXChFRFpe5HdZei92ghOr8lYDtY0x1Y0xgcCdwFwH4lBKqbzMa9+LPV4xiUiKMWYI8At2VcjHIrLZ03EopVRe5s3vxXm284NSSvk77fyglFJKuYAmJqWUUl5FE5NSSimvoolJKaWUV9HEpJRSyqv4xKo8Y0waEJ/DuwcAKS4Mxxfoc84b9Dn7v9w+3yAR8bkCxCcSU24YY9Zc4sxnv6TPOW/Q5+z/8trzPc/nMqlSSin/polJKaWUV8kLiWnK5W/id/Q55w36nP1fXnu+QB6YY1JKKeVb8kLFpJRSyof4dWIyxnQ2xmw3xuwyxox0Oh53MsZUMcb8aozZaozZbIx53OmYPMUYk98Ys94Y84PTsXiCMaaEMWa2MWZb+r93G6djcjdjzAzadBIAAASySURBVND0v+sIY8xXxhi/2+3TGPOxMeaYMSYiw3WljDELjDE707+XdDJGT/HbxGSMyQ+8B9wMNAD6GmMaOBuVW6UAT4pIfaA1MNjPn29GjwNbnQ7Cg94CfhaRekAT/Py5G2MqAY8BLUUkFLtFw53ORuUW04HOF1w3ElgkIrWBRemX/Z7fJibgKmCXiOwRkSRgBtDD4ZjcRkQOi8i69J9jsW9WlZyNyv2MMZWBLsBUp2PxBGNMMaA98BGAiCSJyGlno/KIACDIGBMABOMlO626kogsBU5ecHUP4JP0nz8Beno0KIf4c2KqBBzIcDmKPPBGDWCMCQGaAX84G4lHTAKGA2lOB+IhNYBoYFr68OVUY4zP7beTHSJyEBgH7AcOAzEiMt/ZqDymnIgcBvvhE7jC4Xg8wp8Tk8nkOr9fgmiMKQLMAZ4QkTNOx+NOxpiuwDERWet0LB4UADQHPhCRZsA5/Hx4J31epQdQHagIFDbG3O1sVMqd/DkxRQFVMlyujB+W/xkZYwpgk9IXIhLmdDwe0BbobozZix2q7WiM+dzZkNwuCogSkfPV8GxsovJnNwCRIhItIslAGHC1wzF5ylFjTAWA9O/HHI7HI/w5Ma0GahtjqhtjArGTpXMdjsltjDEGO++wVUQmOB2PJ4jI0yJSWURCsP++i0XErz9Ji8gR4IAxpm76VdcDWxwMyRP2A62NMcHpf+fX4+cLPjKYC9yb/vO9wHcOxuIxAU4H4C4ikmKMGQL8gl3F87GIbHY4LHdqC9wDhBtjNqRf94yIzHMwJuUejwJfpH/g2gP0dzgetxKRP4wxs4F12NWn6/HDjgjGmK+ADkAZY0wUMBoYC8wyxjyATdC3OReh52jnB6WUUl7Fn4fylFJK+SBNTEoppbyKJiallFJeRROTUkopr6KJSSmllFfRxKSUUsqraGJSKgNjTIgxJj7DuWA5eYyWxpi303/uYIy5ZJcCY0w7Y8yWjNsdKJWXaWJS6t92i0jTnN5ZRNaIyGPpFztwmfY5IrIMuCWnx1PK32hiUnmGMeZKY8wmY0whY0zh9I3nQi9zn5ALNm57yhjzQvrPS4wxrxtj/jTG7DDGtEu/voMx5of0Lu8DgaHGmA3pldFt6ZvdbTTGLHXbk1XKh/ltSyKlLiQiq40xc4GXgSDgcxHJ7fBZgIhcZYy5BdtC5oYMx9trjJkMnBWRcQDGmHDgJhE5aIwpkctjK+WXNDGpvOZFbIPfBOyuqLl1vov7WiAkC7dfAUw3xszKcF+lVAY6lKfymlJAEaAoUCgLt0/hn/9PLrxPYvr3VLLwQU9EBgLPYbdk2WCMKZ2FGJTKUzQxqbxmCjAK+AJ4PQu3PwpcYYwpbYwpCHTN5vFisUkQAGNMTRH5Q0SeB47zzz3DlFLoUJ7KQ4wx/YAUEfnSGJMfWGmM6Sgiiy92HxFJNsa8iN2mPhLYls3Dfg/MNsb0wG5XMdQYUxu7w/IiYGNOnotS/ky3vVAqg/SVdD+IyCVX6/nLcZXyRjqUp9Q/pQLFc3OCbXalLzP/Hju0p1SepxWTUkopr6IVk1JKKa+iiUkppZRX0cSklFLKq2hiUkop5VU0MSmllPIq/wcuoPlH8nzVzQAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "x = np.linspace(0,10)\n",
    "y = np.linspace(0,10)\n",
    "z = np.sin(x/3)**2*98\n",
    "\n",
    "fig = plt.figure()\n",
    "ax = fig.add_subplot(111)\n",
    "ax.plot(x,y, '-', label = 'Quantity 1')\n",
    "\n",
    "ax2 = ax.twinx()\n",
    "ax2.plot(x,z, '-r', label = 'Quantity 2')\n",
    "fig.legend(loc=1, bbox_to_anchor=(1,1),bbox_transform=ax.transAxes)\n",
    "#loc = 1 位置字符串1表示右上方 bbox_to_anchor 将指定的图例的右上角放置的位置 bbox_transform 边界框的变换\n",
    "\n",
    "ax.set_xlabel(\"x [units]\")\n",
    "ax.set_ylabel(r\"Quantity 1\")\n",
    "ax2.set_ylabel(r\"Quantity 2\")\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "matplotlib绘制多个图形单独显示"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "#创建自变量数组\n",
    "x= np.linspace(0,2*np.pi,500)\n",
    "#创建函数值数组\n",
    "y1 = np.sin(x)\n",
    "y2 = np.cos(x)\n",
    "y3 = np.sin(x*x)\n",
    "\n",
    "#创建图形\n",
    "\n",
    "plt.figure(1)\n",
    "'''\n",
    "意思是在一个2行2列共4个子图的图中，定位第1个图来进行操作（画图）。\n",
    "最后面那个1表示第1个子图。那个数字的变化来定位不同的子图\n",
    "'''\n",
    "#第一行第一列图形\n",
    "ax1 = plt.subplot(2,2,1)\n",
    "#第一行第二列图形\n",
    "ax2 = plt.subplot(2,2,2)\n",
    "#第二行\n",
    "ax3 = plt.subplot(2,1,2)#两行一列的第二个\n",
    "#选择ax1\n",
    "plt.sca(ax1)\n",
    "#绘制红色曲线\n",
    "plt.plot(x,y1,color='red')\n",
    "#限制y坐标轴范围\n",
    "plt.ylim(-1.2,1.2)\n",
    "#选择ax2\n",
    "#plt.sca(ax2)\n",
    "#绘制蓝色曲线\n",
    "ax2.plot(x,y2,'b--')#也可这样实现绘图\n",
    "plt.ylim(-1.2,1.2)\n",
    "#选择ax3\n",
    "plt.sca(ax3)\n",
    "plt.plot(x,y3,'g--')\n",
    "plt.ylim(-1.2,1.2)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "figure图的嵌套"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "\n",
    "# 定义figure\n",
    "fig = plt.figure()\n",
    "\n",
    "# 定义数据\n",
    "x = [1, 2, 3, 4, 5, 6, 7]\n",
    "y = [1, 3, 4, 2, 5, 8, 6]\n",
    "\n",
    "# figure的百分比, 从figure 10%的位置开始绘制, 宽高是figure的80%\n",
    "left, bottom, width, height = 0.1, 0.1, 0.8, 0.8\n",
    "# 获得绘制的句柄\n",
    "ax1 = fig.add_axes([left, bottom, width, height])#此处的列表表示嵌套的画布所在的位置比例\n",
    "# 绘制点(x,y)\n",
    "ax1.plot(x, y, 'r')\n",
    "ax1.set_xlabel('x')\n",
    "ax1.set_ylabel('y')\n",
    "ax1.set_title('test')\n",
    "\n",
    "# 嵌套方法一\n",
    "# figure的百分比, 从figure 10%的位置开始绘制, 宽高是figure的80%\n",
    "left, bottom, width, height = 0.2, 0.6, 0.25, 0.25\n",
    "# 获得绘制的句柄\n",
    "ax2 = fig.add_axes([left, bottom, width, height])#此处的列表表示嵌套的画布所在的位置比例\n",
    "# 绘制点(x,y)\n",
    "ax2.plot(x, y, 'r')\n",
    "ax2.set_xlabel('x')\n",
    "ax2.set_ylabel('y')\n",
    "ax2.set_title('part1')\n",
    "\n",
    "# 嵌套方法二\n",
    "plt.axes([bottom, left, width, height])\n",
    "plt.plot(x, y, 'r')\n",
    "plt.xlabel('x')\n",
    "plt.ylabel('y')\n",
    "plt.title('part2')\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "matplotlib模块数据可视化-多图布局，分格显示"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "通过subplot2grid实现"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 5 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "plt.figure()\n",
    "# 通过栅格的形式创建布局方式,(3,3)创建3x3的布局形式，(0,0)绘制的位置，0行0列的位置绘制\n",
    "# colspan:表示跨几列 rowspan:表示跨几行\n",
    "ax1 = plt.subplot2grid((3, 3), (0, 0), colspan=3)#从（0,0）的位置开始，横占三个单位\n",
    "# 在ax1图中绘制一条坐标(1,1)到坐标(2,2)的线段\n",
    "ax1.plot([1, 2], [1, 2])\n",
    "# 设置ax1的标题  现在xlim、ylim、xlabel、ylabel等所有属性现在只能通过set_属性名的方法设置\n",
    "ax1.set_title('ax1_title')  # 设置小图的标题\n",
    "\n",
    "ax2 = plt.subplot2grid((3, 3), (1, 0), colspan=2)#从（1,0）的位置开始，横占两个位置\n",
    "ax3 = plt.subplot2grid((3, 3), (1, 2), rowspan=2)#从（1,2）的位置开始，竖占两个位置\n",
    "ax4 = plt.subplot2grid((3, 3), (2, 0))\n",
    "ax5 = plt.subplot2grid((3, 3), (2, 1))\n",
    "# 给对应的图绘制内容，这里只给ax4图绘制，属性通过set_xxx的模式设置\n",
    "ax4.scatter([1, 2], [2, 2])\n",
    "ax4.set_xlabel('ax4_x')\n",
    "ax4.set_ylabel('ax4_y')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "通过gridspec实现"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAXwAAAD8CAYAAAB0IB+mAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAADl0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uIDIuMi4yLCBodHRwOi8vbWF0cGxvdGxpYi5vcmcvhp/UCwAAHWNJREFUeJzt3X+QVeWd5/H3R1ogAo0/aAMNjUBAsGHcURo1m91MMiaFUimoTJwEEishZUIlwaR2k90pU9lKLFOp/PojFQsnLlFLTdWgxj92SEZwK4muNbNBbMbEpTFKKzg04ACSgEr41X73j3u6uVxu9z3d3N/n86q6xT33PJz+nn7u/fZzn/Oc51FEYGZmze+CWgdgZmbV4YRvZpYRTvhmZhnhhG9mlhFO+GZmGeGEb2aWEU74ZmYZ4YRvZpYRTvhmZhnRUqqApAeAjwAHImJRkf0CfgwsA44BqyPiX0sdd8qUKTFr1qwRB2xmlmXbtm07FBFto/m/JRM+8CCwDnh4iP03A/OSx/XAT5J/hzVr1iy6u7vTRWlmZgBIem20/7dkl05EPAMcHqbICuDhyNkCXCxp2mgDMjNrRofeOsH/efkgf/90Lzv2Ha1JDGla+KVMB/bkbfclr+0vLChpDbAGYObMmWX40WZm9SUi2HP4z/TsO0LPvqP07DvCjv1H+fejJwbLTBzXQmd7a9VjK0fCV5HXik7BGRHrgfUAXV1dnqbTzBraqf53eOXgW/TsPXpWcn/z+GkAxlwg5rZN5H3vmUJneysL2yfT2d7K5HddWJN4y5Hw+4COvO0ZwL4yHNfMrG4cO3maF/e/yY7BlvtRXvr3Nzl5+h0Axl94AQumtrL8P7SzsH0yC9tbmT91EuMvHFPjyM8oR8LfCNwu6RFyF2uPRMQ53TlmZo3ij2+fHGyxD/y769DbvJP0S1x80YUsbG9l9X+cxcL2Vha2tzJ7ykTGXFCsw6N+pBmWuQH4ADBFUh/wLeBCgIi4F3iC3JDMXnLDMj9bqWDNzMopItj7pz8PttgHWu/7jxwfLNM+eTyd7ZP5yNXtueQ+fTLtk8eTG5HeWEom/IhYVWJ/AGvLFpGZWQWc7n+HVw+9zY68lvuO/Uf507FTAFwgmNM2ketmX5q02ifTOa2VSyaMrXHk5VOOLh0zs7py/FQ/f3j9zbwumaO89PpRjp/K9bePbbmAq6ZO4uZFU+lM+tuvmtrKu8bWT397JTjhm1lDO3Ls1ODomIH+9lcOvk1/0uE+aXwLC9tb+dT1Vwy23N/TNoGWMdmbWcYJ38waQkTw+tHjZw2B7Nl3lL1/+vNgmamt4+lsb2XpwqmDyX3GJe9qyP72SnDCN7O60/9OsOvQ27mWe9LX3rPvKIffPgmABLMvm8A1My/m1htyLffO9lamTBxX48jrmxO+mdXUidP9vPz6W2cNgfzD629y7GQ/ABeOEVe+exIfuurywfHtV01rZcI4p6+R8m/MzKrm6PFTySiZo4OjZXoPvMXppL994rgWOqe18vGujsEumbmXT2RsS/b62yvBCd/MKuLA0eMFNy8d5d8OHxvc3zZpHAvbW7nxqsvpnJZruc+89CIuqPOblxqZE76ZnZd33gleO3zsrMS+Y99RDr11ZrKwKy67iEXTW/nEko5kTplWLp80voZRZ5MTvpmldvL0O+w88OZZXTIv7n+Tt07kJgtruUDMe/ckPjC/jc5pucR+VXsrreNrM1mYnc0J38yKeuvEaV7cf5SevWda7jsPvMmp/lx/+0Vjx3DVtFb+5trpg/3t8949kXEtzX3zUiNzwjczDr55Ihn6eGSw9b77jbeJZLKwyyaMpbO9lf985ezBkTKzLptQ95OF2dmc8M0ypNjiHD37jnLgzTP97TMueRcL21v56DVnWu7vbh3nm5eagBO+WZNKuzjHf5qbW5yjs72VhdMmM/ki97c3Kyd8sybQDItzWOU54Zs1mMNvnxyccqDU4hwDI2XmtNX/4hxWeU74ZnUqa4tzWOU54ZvVgYHFOc5uuR/lyJ+LL84xcGdqMy3OYZXnhG9WZWkW51gwdRLL/uLM4hwLpk7iorH+uNr58TvIrIIGFucYWE4vzeIcc9omcGEGF+ewynPCNyuDNItzvLt1HAvbJ3txDquZVAlf0k3Aj4ExwH0R8b2C/auBHwJ7k5fWRcR9ZYzTrG54cQ5rVCUTvqQxwD3Ah4E+4DlJGyNiR0HRRyPi9grEaFYzo1mcY8G0ViZ6cQ6rQ2neldcBvRHxKoCkR4AVQGHCN2to+YtzDLTeh1uco7O9lXmXT/LiHNYw0iT86cCevO0+4Poi5T4m6f3Ay8B/jYg9hQUkrQHWAMycOXPk0ZqVSanFOaZMzC3O8dcLzrTcvTiHNbo0Cb/YOzwKtn8BbIiIE5K+ADwE/PU5/yliPbAeoKurq/AYZmXnxTnMzkiT8PuAjrztGcC+/AIR8Ube5k+B759/aGYjk2ZxjrmXT+SvrmxLRsl4cQ7LljQJ/zlgnqTZ5EbhrAQ+mV9A0rSI2J9sLgdeLGuUZgW8OIfZyJVM+BFxWtLtwJPkhmU+EBE9ku4CuiNiI/AVScuB08BhYHUFY7aMKbU4x6UTxrLQi3OYlaSI2nSld3V1RXd3d01+ttWnkSzOMZDYvTiHZY2kbRHRNZr/68HCVhNpF+d439wpg0MgvTiH2flxwreK8+IcZvXBCd/KqtjiHK8eOtPfPvlducU5PvPeKwaT++wpE2jxZGFmFeeEb6PixTnMGo8TvpWUdnGOJbMuHbyQ2tneyqVenMOsrjjh21m8OIdZ8/KnNMPyF+cYGCVTbHGOT16XLM4xvZX3tE304hxmDcoJPwO8OIeZgRN+0xnJ4hyfumHm4EgZL85h1vyc8BuYF+cws5HwJ79BjGRxjoEpfr04h5nlc8KvQ16cw8wqwQm/hka8OMe0ZHGOVi/OYWYj54RfJV6cw8xqzQm/Aka6OEfntMlcOdWLc5hZZTnhnycvzmFmjcIJP6WRLM7x0Wum5/rbp7cytdWThZlZfXDCL+JU/zv0HnjrrP72wsU53tM2wYtzmFlDyXzCH+niHJ3JZGFenMPMGk2mEr4X5zCzLEuV8CXdBPwYGAPcFxHfK9g/DngYWAy8AXwiInaXN9T0RrM4R2d7K9Mv9mRhZta8SiZ8SWOAe4APA33Ac5I2RsSOvGK3AX+MiLmSVgLfBz5RiYAL5S/OMTAb5I79ZxbnkGDOlAlenMPMMi9NC/86oDciXgWQ9AiwAshP+CuAO5PnjwPrJClioLOkfHYdepv/+8qhwdb7H/Yf5cTp4otzdE5r5appXpzDzAzSJfzpwJ687T7g+qHKRMRpSUeAy4BD+YUkrQHWAMycOXNUAf/vntf57qY/MGl8brKwT13vxTnMzNJIk/CLdWoXttzTlCEi1gPrAbq6ukbV+v/Y4hncvGgaHZe6v93MbCTSJPw+oCNvewawb4gyfZJagMnA4bJEWGDKxHEwsRJHNjNrbmkS/nPAPEmzgb3ASuCTBWU2Ap8BfgvcAvymVP/9tm3bDkl6beQhAzCFgu6iDPA5Z4PPORvO55yvGO0PLZnwkz7524EnyQ3LfCAieiTdBXRHxEbgfuBnknrJtexXpjhu22iDltQdEV2j/f+NyOecDT7nbKjVOacavhIRTwBPFLz2zbznx4G/LW9oZmZWTh7SYmaWEY2a8NfXOoAa8Dlng885G2pyzqrAvVFmZlaHGrWFb2ZmI+SEb2aWEXWd8CXdJOklSb2S7iiyf5ykR5P9z0qaVf0oyyvFOX9V0g5JL0j6taRRj8mtF6XOOa/cLZJCUsMP4UtzzpI+ntR1j6R/qHaM5ZbivT1T0lOSnk/e38tqEWe5SHpA0gFJ24fYL0l3J7+PFyRdW/GgImLYB/AAcADYPsR+AXcDvcALwLWljpnmQW7M/yvAHGAs8Hugs6DMl4B7k+crgUfL8bNr9Uh5zh8ELkqefzEL55yUmwQ8A2wBumoddxXqeR7wPHBJsn35CI5fk89sGc55PfDF5HknsLvWdXWe5/x+4Nph6mEZsCmpjxuAZysdU5oW/oPATcPsvzl5c84jNzHaT1IcM43BWToj4iQwMEtnvhXAQ8nzx4Eb1dgT7JQ854h4KiKOJZtbyE110cjS1DPAt4EfAMeL7Gs0ac7588A9EfFHgIg4MILjP0htPrPDSXPOAbQmzydz7hQuDSUinmH4KWZWAA9HzhbgYknTKhlTyYRfw6CLzdI5fagyEXEaGJils1GlOed8t5FrITSykucs6RqgIyJ+Wc3AKihNPV8JXCnpXyRtSRYhSqUeEw3pzvlO4FZJfeRu9PxyhWOqtZF+3s9bOfrwKxV02WbpbCCpz0fSrUAX8MOKRlR5w56zpAuAHwFfq1pElZemnlvItcA/AKwC7pN0cZl+ftUTDenOeRXwYETMINfd8bOk/ptV1fNXqnH4ycXQX0bEoiL7/gn4bkT8c7L9a+DvImJbkbKD8+FPmDBh8YIFC84reDMr7sSJE2zfvr0/Is6ZPiXtZ9af1/q0bdu2QzHKucjKsRRUmumTgXPnw+/u7i7DjzezQrt372b27Nmnhtid6jPrz2t9Oo9ZhsvSpbMR+HQyxOgG4EhE7C/Dcc2sMvyZzag0i5hvINePOCW5mPIt4EKAiLiX3MWVZeSGeB0DPlupYM2stFWrVvH0008DjPNn1vKlmQ9/VYn9AawtW0Rmdl42bNgAgKR/jSJzrvszm13NfAXczMzyOOGbmWWEE76ZWUY44ZuZZYQTvplZRjjhm5llhBO+mVlGOOGbmWWEE76ZWUY44ZuZZYQTvplZRjjhm5llhBO+mVlGOOGbmWWEE76ZWUY44ZuZZYQTvplZRjjhm5llhBO+mVlGOOGbmWWEE75Zk9m8eTPz588HWCTpjsL9kmZKekrS85JekLSs+lFaLTjhmzWR/v5+1q5dy6ZNmwB6gFWSOguK/Q/gsYi4BlgJ/H2Vw7QaccI3ayJbt25l7ty5zJkzByCAR4AVBcUCaE2eTwb2VS9Cq6VUCV/STZJektQ7xFfE1ZIOSvpd8vhc+UM1s1L27t1LR0dH/kt9wPSCYncCt0rqA54AvlzsWJLWSOqW1H3w4MFKhGtVVjLhSxoD3APcDHRS/CsiwKMR8ZfJ474yx2lmKURE0ZcLtlcBD0bEDGAZ8DNJ5+SCiFgfEV0R0dXW1lb+YK3q0rTwrwN6I+LViDhJ8a+IZlYHZsyYwZ49e856iXO7bG4DHgOIiN8C44EpVQnQaipNwp8O5L+Din1FBPhYcsX/cUkdRfabWYUtWbKEnTt3smvXLgCRuyi7saDYvwE3Aki6ilzCd59NBqRJ+CryWuFXxF8AsyLiauBXwENFD+Q+QbOKamlpYd26dSxduhRgIbnROD2S7pK0PCn2NeDzkn4PbABWxxB9QdZcVKqeJb0XuDMilibbXweIiO8OUX4McDgiJg933K6uruju7h5V0GZWmqRtEdFVjmP581o/zqde07TwnwPmSZotaSxFviJKmpa3uRx4cTTBmJlZ5bSUKhARpyXdDjwJjAEeGPiKCHRHxEbgK8nXxdPAYWB1BWM2M7NRKJnwASLiCXLjdfNf+2be868DXy9vaGZmVk6+09bMLCOc8M3MMsIJ38wsI5zwzcwywgnfzCwjnPDNzDLCCd/MLCOc8M3MMsIJ38wsI5zwzcwywgnfzCwjnPDNzDLCCd/MLCOc8M3MMsIJ38wsI5zwzcwywgnfrMls3ryZ+fPnAyySdEexMpI+LmmHpB5J/1DdCK1WnPDNmkh/fz9r165l06ZNAD3AKkmd+WUkzSO3Qt37ImIh8F+qH6nVghO+WRPZunUrc+fOZc6cOQABPAKsKCj2eeCeiPgjQEQcqG6UVitO+GZNZO/evXR0dOS/1AdMLyh2JXClpH+RtEXSTcWOJWmNpG5J3QcPHqxQxFZNTvhmTSQiir5csN0CzAM+AKwC7pN0cZFjrY+IrojoamtrK3eoVgNO+GZNZMaMGezZs+esl4B9BcX6gH+MiFMRsQt4idwfAGtyTvhmTWTJkiXs3LmTXbt2AQhYCWwsKPa/gA8CSJpCrovn1WrGabWRKuFLuknSS5J6iw3zkjRO0qPJ/mclzSp3oGZWWktLC+vWrWPp0qUAC4HHIqJH0l2SlifFngTekLQDeAr47xHxRo1CtirSEH1+ZwpIY4CXgQ+T+yr4HLAqInbklfkScHVEfEHSSuCjEfGJ4Y7b1dUV3d3d5xu/mQ1B0raI6CrHsfx5rR/nU69pWvjXAb0R8WpEnKT4MK8VwEPJ88eBGyVpNAGZmVllpEn404H8q0DFhnkNlomI08AR4LJyBGhmZuXRkqJMsZZ6YT9QmjJIWgOsSTZPSNqe4ufXgynAoVoHMQKNFK9jrZz5tQ7A6kuahN8H5N/JMdQwrw6gT1ILMBk4XHigiFgPrAeQ1F2u/sVKa6RYobHidayVI8md7naWNF06zwHzJM2WNJbiw7w2Ap9Jnt8C/CZKXQ02M7OqKtnCj4jTkm4nN5RrDPDAwDAvoDsiNgL3Az+T1EuuZb+ykkGbmdnIpenSISKeAJ4oeO2bec+PA387wp+9foTla6mRYoXGitexVk6jxWsVVnIcvpmZx+HXj0qPwzczsyZQ8YTfSNMypIj1q8kqQS9I+rWkK2oRZxLLsLHmlbtFUkiq6eiSNPHWyypMKd4HMyU9Jen55L2wrBZxJrE8IOnAUEOclXN3ci4vSLq22jFaHYmIij3IXeR9BZgDjAV+D3QWlPkScG/yfCXwaCVjOs9YPwhclDz/Yj3HmpSbBDwDbAG6ahHrCH6384DngUuS7cvrONb1wBeT553A7hr+bt8PXAtsH2L/MmATuXtlbgCeHc3PWbx4cVh9IDdYZlTvl5It/PNsQTTStAwlY42IpyLiWLK5hdw9CbWQ5vcK8G3gB8Dxwh1VbhmmibdeVmFKE2sArcnzyZx7X0rVRMQzFLnnJc8K4OEkV2wBLpY0rTrRWb1J06XzIFB0RZzEzeRaZ/PI3UX7k7x9jTQtQ5pY891GruVUCyVjlXQN0BERvxziGA8y+nodqTS/21SrMFVBmljvBG6V1Edu9NqXqxPaqIz0fW1NrGTCP88WRNmmZaiC1HFIuhXoAn5Y0YiGNmyski4AfgR8bagDVLllmOZ3m2oVpipIE+sq4MGImEGuy+Rnye+8HtXL58vqQDnepMO1IEYyLQPDTctQBWliRdKHgG8AyyPiRJViK1Qq1knAIuBpSbvJ9d1uHOGF23K2DNO+D+phFaY0sd4GPAYQEb8FxpObZ6cepXpfWzakGoefjJz5ZUQsKrLvn4DvRsQ/J9u/Bv4uIrYlCfxl4EZgL7mLYUeA4xMmTFi8YMGCcp2HjcKJEyfo7e3l+PHjhyLirEVLh6vXwuPkT4rneq0f27ZtOwSsBm4n903keuDuiLhupMfyOPz6cT7j8FPdaVvCkC2IOHdahnsj4juS7lqwYMFiv4Fqa/fu3XzkIx+hp6fntSK7U7cMI29SPCeG+iHpNXLXGJYBvcAx4LM1DcpqqhxdOhuBTyejOm4AjkTE/oGdEfFERFwZEe+JiO8kr31zqINZ3Ri2Xq0xJNdg1iafv7+ICP81zrCSLXxJG8hdSJuSjEr4FnAhQETci1sQDWnVqlU8/fTTHDp0COBqSbfhejVramlmy1xVYn8Aa8sWkVXFhg0bBp9LeiEi7s/f73ptCosk3RER3yu2U9ItwM+BJW75Z0O9DiUzs/PXA6yS1Fm4Q9Ik4CvAs1WPymrGCd+seQWjuAvbmpcTvllzG81d2NaknPDNmt+I7sLOK7tGUrek7oMHD1YyPqsSJ3yz5jbqu7AjYn1EdEVEV1tbW+Fua0DluPHKzOqTyE05/smBFyLiCHnTQEh6GvhvHqWTDW7hmzWvhcBjEdEj6S5Jy2sdkNWWW/hmzWt7qbvbI+IDVY3IasotfDOzjHDCNzPLCCd8M7OMcMI3M8sIJ3wzs4xwwjczywgnfDOzjHDCNzPLCCd8M7OMcMI3M8sIJ3wzs4xwwjczywgnfDOzjHDCNzPLCCd8M7OMSJXwJd0k6SVJvZLuKLJ/taSDkn6XPD5X/lCt3DZv3sz8+fMBFrlezZpfyYQvaQxwD3Az0AmsktRZpOijEfGXyeO+MsdpZdbf38/atWvZtGkTQA+uV7Oml6aFfx3QGxGvRsRJ4BFgRWXDskrbunUrc+fOZc6cOQCB69Ws6aVJ+NOBPXnbfclrhT4m6QVJj0vqKEt0VjF79+6lo+OsanK9mjW5NAlfRV6Lgu1fALMi4mrgV8BDRQ8krZHULan74MGDI4vUyiqisApzLxdsu14b21DXZr4qaUfyh/zXkq6oRXBWfWkSfh+Q37KbAezLLxARb0TEiWTzp8DiYgeKiPUR0RURXW1tbaOJ18pkxowZ7Nmz56yXcL02m6GuzTwPdCV/yB8HflD1yKwm0iT854B5kmZLGgusBDbmF5A0LW9zOfBi+UK0SliyZAk7d+5k165dkPsW53ptPkWvzUTEUxFxLNncQu6PvWVAS6kCEXFa0u3Ak8AY4IGI6JF0F9AdERuBr0haDpwGDgOrKxizlUFLSwvr1q1j6dKlAAuBb7tem1IfcP0w+28DNlUpFqsxDdGXW3FdXV3R3d1dk59tZ5O0LSK6ynEs12v9kLQN+DFwXUR8ucj+W4Hbgb/K67rL378GWAMwc+bMxa+99lqFI7Y0zufz6jttzZrbOddmACR9CPgGsLxYsgdfm2lGTvhmzWuoazPXAP+TXLI/UIvArDac8M2a10LgsYFrM8n1GIAfAhOBnydTZmwc+hDWTEpetDWzhrU9Ir4DEBHfHHgxIj5Uu5CsltzCNzPLCCd8M7OMcMI3M8sIJ3wzs4xwwjczywgnfDOzjHDCNzPLCCd8M7OMcMI3M8sIJ3wzs4xwwjczywgnfDOzjHDCNzPLCCd8M7OMcMI3M8sIJ3wzs4xwwjczywgnfDOzjHDCNzPLiFQJX9JNkl6S1CvpjiL7x0l6NNn/rKRZ5Q7Uym/z5s3Mnz8fYJHrtSm5Xu0sJRO+pDHAPcDNQCewSlJnQbHbgD9GxFzgR8D3yx2olVd/fz9r165l06ZNAD24XpuR69XOkqaFfx3QGxGvRsRJ4BFgRUGZFcBDyfPHgRslqXxhWrlt3bqVuXPnMmfOHIDA9dqMXK92ljQJfzqwJ2+7L3mtaJmIOA0cAS4rR4BWGXv37qWjoyP/Jddrc3K92qCWFGWK/eWPUZRB0hpgTbJ5QtL2FD+/nk0BDtU6iFG6BGi9//77XwPmJ6+5XnMavl4B12txjVy3A+aXLlJcmoTfB+Q3BWcA+4Yo0yepBZgMHC48UESsB9YDSOqOiK7RBF0vGvkcJL0XuDMilkrqxvU6qJHPwfU6vGY4j6ReRyVNl85zwDxJsyWNBVYCGwvKbAQ+kzy/BfhNRJzTYrC6Mliv5Fp8rtfm4Hq1IZVM+Ekf3+3Ak8CLwGMR0SPpLknLk2L3A5dJ6gW+CpwzFMzqS0G9LsT12hRcrzYc1eoPu6Q1yVfGhtUM5wDlPY9m+J00wzmA67WYZjiP8zmHmiV8MzOrLk+tYGaWERVP+M0wLUOKc1gt6aCk3yWPz9UizuFIekDSgaGG1inn7uQcX5B0bYnjuV7rgOv1XK7XYURExR7AGOAVYA4wFvg90FlQ5kvAvcnzlcCjlYypQuewGlhX61hLnMf7gWuB7UPsXwZsIjey4wbgWder69X12vj1mv+odAu/GaZlSHMOdS8inqHIWOs8K4CHI2cLcLGkaUOUdb3WCdfrOVyvw6h0wm+GaRnSnAPAx5KvVo9L6iiyv96lPc+0ZV2v9cH16nodVOmEX7ZpGWooTXy/AGZFxNXArzjTAmokI6kH12vjcL26XgdVOuGPZFoGNMxt3jVU8hwi4o2IOJFs/hRYXKXYyilNXY2krOu1PrheXa+DKp3wm2FahpLnUNB3tpzcHcmNZiPw6eTq/w3AkYjYP0RZ12vjcL26Xs+owtXmZcDL5K6cfyN57S5gefJ8PPBzoBfYCsyp9RXyUZzDd8ktNvF74ClgQa1jLnIOG4D9wClyrYPbgC8AX0j2i9xCN68A/w/ocr26Xl2vzVGvAw/faWtmlhG+09bMLCOc8M3MMsIJ38wsI5zwzcwywgnfzCwjnPDNzDLCCd/MLCOc8M3MMuL/A66Ldu3Y7mvHAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 432x288 with 5 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "# 需要导入该模块\n",
    "import matplotlib.gridspec as gridspec\n",
    "\n",
    "plt.figure()\n",
    "# 将整个视图分成3x3布局\n",
    "gs = gridspec.GridSpec(3,3)\n",
    "# gs[0,:]  指定画图的位置 前面指定该图所占的行范围0表示0行，1: 表示从第一行到最后一行\n",
    "# 第二个参数指定列的范围一个数表示固定列数，x:y表示从x列到y列\n",
    "ax6 = plt.subplot(gs[0, :])\n",
    "ax6.plot((0,1),(0,1))\n",
    "# 第一行，从0列开始到2列，不包括2，也就是占0、1两列\n",
    "ax7 = plt.subplot(gs[1, :2])\n",
    "# 从第一行到最后，占1、2两行，后面的2表示只占用第二列，也就是最后的一列\n",
    "ax8 = plt.subplot(gs[1:, 2])\n",
    "# 倒数第一行，只占第0列这一列\n",
    "ax9 = plt.subplot(gs[-1, 0])\n",
    "# 倒数第一行，只占倒数第二列，由于总共三列，所以倒数第二列就是序号1的列\n",
    "ax10 = plt.subplot(gs[-1, -2])\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "通过subplots实现"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 4 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "#这种方法只适合列数相同的布局\n",
    "# sharex:所有小图共享x轴  sharey:表示所有小图共享y轴  坐标轴以所有小图中范围最大的进行显示\n",
    "f, ((ax11, ax12), (ax13, ax14)) = plt.subplots(2, 2, sharex=True, sharey=True)\n",
    "ax11.scatter([1,2], [1,2])\n",
    "ax12.plot((1,4),(1,4))\n",
    "# 紧凑显示，边框会比较小，可以注释掉该行查看效果\n",
    "plt.tight_layout()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.6.5"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}
